Responsibilities
· Architect and develop Big Data applications for fortune 100 companies around the globe.
· Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem.
· Implement and configure tools for Hadoop based data lake implementations and Proof of concepts.
· Need to travel to client side when required.
Minimum qualifications
· Solid software engineer with excellent analytical and troubleshooting skills.
· 4+ years of experience building production large scale big data applications.
· Proficiency in a programming language, ideally Scala, Python, or Java.
· Experience with big data technologies like Spark, Hive, or Impala.
· Excellent communication skills with clients and internal engineering teams.
· Eager to learn new technologies.
Preferred qualifications
· Experience with Spark, SQL, Scala, Python, Java, Shell scripting.
· Understanding of Data Integrations and ETL projects.
will be kept confidential according to EEO guidelines.
Job details are sourced from the employer's original posting.
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